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Make sure you are describing these two Continuation transformations - The equation of the function is Y x)=1.12(x- QB}, here {Y(x)>0} and | used the
Make sure you are describing these two Continuation transformations - The equation of the function is Y x)=1.12"(x- QB}, here {Y(x)>0} and | used the exponential function because I can see the numbers are increasing in a non-linear fashion, an exponential function would fit the scatter plot data more accurately. -The a-value of 1.12 was used to stretch the function enough to align with the numbers, as such I had to adjust the d and c values to get the function in line with the scatter plot. In the end, I believe it is fairly accurate. -I have restricted the data to {Y>O} as a negative amount of number of trees cut down is impossible. g -This is only meant to display the statistics from 1996 to 2018. With regards --"" to beforehand however, deforestation merely began to increase immensely from the late 90's into the late 2010's. Area of Trees Cut in the {Y>0} 60 Amazon forest each year (km?) (2018,56.3) 50- (2016,48) Y(x)=1.12^(x-1977)-5 I chose an 40 (2014,40.4) exponential (2012,37.1). function to represent my (2010,33.2) data table. as Area of Trees Cut Down km2 (2008,31) . seen in the 30 (2006,28) . resemblance in shape. The amount of trees cut in the 20 (2004,19) . amazon forest grows exponentially as (2002,12.1) each year passes 10 by. (200,7.4) (1998,4.5) (1996,3.1) 1960 1970 1980 1990 2000 2010 2020 2030 2040 Time(Years)
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